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In situations where the higher orders of interactions hold the most relevant information, generalised multiplicative analysis of variance (GEMANOVA), which is based on parallel factor analysis (PARAFAC), may be a useful supplement to ANOVA.
We can build more complex models of group behavior by adding orders of interactions between mice.
Therefore IGS is vital if one needs to compare the association strengths between genotypes from different orders of interactions.
Figure 3 shows that the simulated causal pair has the largest IGS value among all points, from different orders of interactions.
Finally, we found that the contribution of the different orders of interactions to the group behavior differed significantly between the SE and CE groups.
The strongest functional interactions corresponded not to the most frequent events, but rather to those events that are most surprising or not predicted from lower orders of interactions, thus presenting interactions of a truly social nature.
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Due to detecting multiple orders of interaction, BHIT demonstrates its capability on thousands genetic variations by thousands samples on single CPUs in plausible time.
The best predictive models for up to 4 orders of interaction, along with their cross-validation consistency (CVC) and testing balanced accuracy (TBA), are summarized in Table 3.
These genetic, biochemical, or physiologic relationships validated by other means can be incorporated as 'priors' as we seek higher orders of interaction.
Because KWII looks at increasing orders of interaction from low to high the method is well suited to finding these higher order combinations because it finds the lower order ones first.
It also allows for evaluation of the effects of deletion of specific proteins and how this affects different orders of interaction, and hence be used for easy evaluation of robustness of the network to different perturbations.
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